AIMC Topic: Robotics

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A Conversational Robot for Cognitively Impaired Older People Who Live Alone: An Exploratory Feasibility Study.

Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
BACKGROUND: Social isolation and loneliness are significant risk factors for poor mental health in older adults, particularly those living alone with cognitive impairment. Socially assistive robots (SARs) offer a promising approach to enhance social ...

Brain-Controlled Wheeled Mobile Robots: A Framework Combining Probabilistic Brain-Computer Interface and Model Predictive Control.

IEEE transactions on cybernetics
Brain-controlled systems have experienced significant advancements in overall performance, largely driven by continuous optimization and innovation in electroencephalography (EEG) acquisition experimental paradigms and decoding algorithms. However, t...

Nurses' Experiences and Attitudes Toward the Use of Nursing Robots: A Meta-Synthesis of Qualitative Researches.

Nursing & health sciences
To systematically synthesize the existing qualitative evidence on the experiences and attitudes of nurses toward nursing robots. We searched six English databases (PubMed, Web of Science, CINAHL, Embase, Cochrane Library, PsycINFO) and four Chinese d...

DRL-driven padel players: Simulating padel matches through deep reinforcement learning in real and hypothetical scenarios.

Journal of sports sciences
Recent advances in Deep Reinforcement Learning (DRL) have opened new avenues for sport research. DRL allows virtual agents to learn and solve complex tasks with minimal input, which means that models can be trained with little or no data collection. ...

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.

Annals of neurology
Artificial intelligence (AI) applications are finding use in real-world neurological settings. Whereas part 1 of this 3-part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more pra...

Multi-agent self-attention reinforcement learning for multi-USV hunting target.

Neural networks : the official journal of the International Neural Network Society
A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is proposed to solve the challenge of multiple unmanned surface vehicles (multi-USV) hunting target at the surface. The kinematic, dynamic, and environmental ...

Enhancing realism in LiDAR scene generation with CSPA-DFN and linear cross-attention via Diffusion Transformer model.

Neural networks : the official journal of the International Neural Network Society
Point cloud diffusion models have found extensive applications in autonomous driving and robotics. However, there is still a big gap between their generated LiDAR scene samples and real-world data in terms of visual quality. This discrepancy primaril...

A robot's efficient demonstration cannot reduce 5- to 6-year-old children's over-imitation.

Journal of experimental child psychology
Children tend to imitate inefficient behaviors containing causally irrelevant actions-they over-imitate. Out-group members' efficient demonstration cannot reduce children's over-imitation of in-group members, due to their interpretation of irrelevant...

Hybrid Magnetic Locomotion Method for Capsule Robots.

IEEE transactions on bio-medical engineering
OBJECTIVE: Gastrointestinal (GI) capsule endoscopes typically rely on a single mode of locomotion, which limits their efficiency within the complex GI tract. To address this issue, this paper presents a hybrid magnetic locomotion method for capsule r...